Title: Senior Business Intelligence Engineer
Company: Amazon
Location: New York, New York, United States
Wenqi “Wendy” Wang, senior business intelligence engineer at Amazon, has been recognized by Marquis Who’s Who Top Engineers for dedication, achievements, and leadership in data science, analytics and technology.
Though her career path has not been a straight one over the last 15 years, Ms. Wang considers that one of her greatest strengths. Born in China, she moved to the United Kingdom at the age of 17 and began a career in finance. Ms. Wang completed an internship in market research at Idea Generation in 2011 and attended the International Financial Management Training Program as a summer business analyst the following year. She took on her first full-time roles as a financial consultant at ICBC-AXA Life Insurance and a senior analyst at BPS Investment Management Company.
By the time she had established herself in the field of finance, Ms. Wang discovered she was interested in using statistics in a more scientific manner. Immigrating to the United States to continue her education, she became determined to find positions where she could utilize her expertise in statistics within the technology space — specifically with the goal of operating as a bridge between technology-minded employees and less technical perspectives. Ms. Wang explains that within technology companies, there are engineers who know how to build things but don’t know what it is they should build. Likewise, there are experts in non-technology spaces who might know what the market needs but don’t know how to build it or how to read deeper into the data to gain insight.
With that approach in mind, Ms. Wang joined a financial technology startup company named Ocrolus in 2017 as a data analyst. Affiliated with that organization for five years, she assisted in the company’s growth from just 20 employees to more than 200. Ocrolus specializes in utilizing artificial intelligence (AI) and analytics to help inform decisions for technology-forward lending companies, including PayPal, Square, Zillow and others. Among her accomplishments during this time, Ms. Wang developed a unique scoring system that was used to evaluate financial documents assembled by machine learning, adding a necessary layer of human verification to AI processes. She considers this one of the highlights of her professional life thus far.
Since 2022, Ms. Wang has served as a senior business intelligence engineer at Amazon, first focusing on the Amazon Games business and later Amazon more broadly. She codes products that can take raw, unstructured data and transform it into meaningful insights for a nontechnical audience. For example, Ms. Wang is especially proud of having created a dashboard that provides an overview of all active marketing campaigns. This tool has aided the internal marketing teams at Amazon by allowing them to see a collection of data from various sources presented in a way that’s easy to read and react to.
Prior to embarking upon her career, Ms. Wang sought a solid academic foundation, beginning with obtaining a bachelor’s degree in mathematics and management from University College London in 2012. From 2012 to 2013, she completed a postgraduate program in actuarial science at Bayes Business School, part of City St. George’s, University of London. Subsequently, Ms. Wang earned a master’s degree in applied statistics from Columbia University in 2016. She is licensed and a life and health insurance agent.
Beyond her career, Ms. Wang spends her time playing piano, attending musical shows and exhibitions, traveling and singing in a choir, including having performed at the United Nations and Carnegie Hall. While continuing in her primary vocation at Amazon, she has ambitious plans for the near future. Alongside her Amazon work, Ms. Wang is exploring funding opportunities to launch her own startup, Lenora, which will focus on better use of data in the insurance world. She also runs a small side business on Etsy where she designs custom pet-themed iPhone cases.
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